Natural Language Processing and Its Use in Orthopaedic Research.
John M WyattGregory J BoothAshton H GoldmanPublished in: Current reviews in musculoskeletal medicine (2021)
Natural language processing is a form of artificial intelligence that involves encoding human-generated text or speech into a form which can be interpreted by computers to perform a variety of tasks. Natural language processing gathers, processes, and organizes large amounts of free-text data more efficiently than humans. In orthopaedics, it has been utilized for retrospective chart review, automated reporting of electronic health record data, analyzing operative notes and radiology reports, and patient reviews of physicians and practices. Although still in its infancy, natural language processing promises to be a valuable tool in the future of orthopaedic research. It will not eliminate the need for the essential human component of questioning involved in research, but natural language processing can improve the quality, efficiency, and thoroughness of research, thus improving patient care.
Keyphrases
- electronic health record
- artificial intelligence
- autism spectrum disorder
- big data
- machine learning
- endothelial cells
- deep learning
- primary care
- adverse drug
- healthcare
- clinical decision support
- induced pluripotent stem cells
- systematic review
- body mass index
- pluripotent stem cells
- case report
- quality improvement
- current status
- data analysis